// [{X, Y}, {Size, Z}], the better clustering is Size with Y because the
        // output of size will be a small tensor while Y is a potentially large
        // tensor that must be computed and possible transposed/copied before
        // the second cluster executes.
        Node* n = GetOnlyNodeIn(*to);
        bool is_shape_consumer_op = n && IsShapeConsumerOp(*n);
        if (!is_shape_consumer_op) {
          return false;

  %dq = "tfl.dequantize"(%q) : (tensor<5x2x!quant.uniform<i8<-127:127>:f32, 1.113490e-03>>) -> tensor<5x2xf32>
  %t = "tfl.transpose"(%dq, %perm) : (tensor<5x2xf32>, tensor<2xi32>) -> tensor<2x5xf32>
  func.return %t : tensor<2x5xf32>

  // QDQ: %[[perm:.*]] = arith.constant dense<[1, 0]> : tensor<2xi32>

  // CHECK-DAG: [[RESHAPED:%.+]] = "tf.Reshape"([[PADDED]], [[RESHAPED_SHAPE]])
  // CHECK-DAG: [[PERMUTED:%.+]] = "tf.Transpose"([[RESHAPED]], [[PERMUTATION]])
  // CHECK-DAG: [[RESULT:%.+]] = "tf.Reshape"([[PERMUTED]], [[OUTPUT_SHAPE]])
  // CHECK-DAG: return [[RESULT]]

              'concatenate',
              'gather',
              'max_pool',
              'pad',
              'reshape',
              'select',
              'slice',
              'transpose',
          ),
      }])
  )
  @test_util.run_in_graph_and_eager_modes
  def test_matmul_and_same_scale_ptq_model(
      self,
      same_scale_op: str,
  ):
    input_shape = (2, 3, 1, 1024)

    void checkExecuteTransformWorkOperations(List<BuildOperationRecord> executeWorkOps, List<String> skipMessages) {
        assert executeWorkOps.size() == skipMessages.size()
        [executeWorkOps, skipMessages].transpose().every { op, skipMessage ->
            verifyAll(op) {
                details.workType == "TRANSFORM"
                result.skipMessage == skipMessage
            }
        }
    }

    }


    boolean matches ( Address addr, int prt, InetAddress laddr, int lprt, String hostName ) {
        if ( this.state == 5 || this.state == 6 ) {
            // don't reuse disconnecting/disconnected transports
            return false;
        }
        if ( hostName == null )
            hostName = addr.getHostName();

// This behavior can be managed using [Transport.CloseIdleConnections] method
// and the [Transport.MaxIdleConnsPerHost] and [Transport.DisableKeepAlives] fields.
//
// Transports should be reused instead of created as needed.
// Transports are safe for concurrent use by multiple goroutines.
//
// A Transport is a low-level primitive for making HTTP and HTTPS requests.

  %7 = "tf.Reshape"(%6, %cst_2) {device = "/job:localhost/replica:0/task:0/device:CPU:0"} : (tensor<9xf32>, tensor<2xi32>) -> tensor<3x3xf32>
  %8 = "tf.MatMul"(%2, %7) {device = "/job:localhost/replica:0/task:0/device:CPU:0", transpose_a = false, transpose_b = false} : (tensor<3x3xf32>, tensor<3x3xf32>) -> tensor<3x3xf32>
  %9 = "tf.MatrixDeterminant"(%8) {T = f32, device = "/job:localhost/replica:0/task:0/device:CPU:0"} : (tensor<3x3xf32>) -> tensor<f32>